• KITTI

  • Referenced in 40 articles [sw30418]
  • highways. Up to 15 cars and 30 pedestrians are visible per image. Besides providing...
  • VISSIM

  • Referenced in 20 articles [sw13506]
  • transport, rail and road related public transport, pedestrians and cyclists – as the world’s leading...
  • MOT16

  • Referenced in 10 articles [sw39251]
  • benchmark focuses on multiple people tracking, since pedestrians are by far the most studied object ... also provides multiple object classes beside pedestrians and the level of visibility for every single...
  • PARAMICS

  • Referenced in 8 articles [sw06668]
  • Paramics is a leading microscopic traffic and pedestrian simulation software used by planning professionals ... design efficient, economical, driver and pedestrian friendly transportation infrastructure allowing operational assessment for current...
  • VoxelNet

  • Referenced in 9 articles [sw32558]
  • encouraging results in 3D detection of pedestrians and cyclists, based on only LiDAR...
  • DeepReID

  • Referenced in 2 articles [sw30750]
  • identification. Person re-identification is to match pedestrian images from disjoint camera views detected ... pedestrian detectors. Challenges are presented in the form of complex variations of lightings, poses, viewpoints ... views. In addition, misalignment introduced by the pedestrian detector will affect most existing person ... identification methods that use manually cropped pedestrian images and assume perfect detection. In this paper...
  • CityPersons

  • Referenced in 3 articles [sw36649]
  • CityPersons: A Diverse Dataset for Pedestrian Detection. Convnets have enabled significant progress in pedestrian detection...
  • Adgfem

  • Referenced in 4 articles [sw39041]
  • equations, Richard’s equation, shallow water equation, pedestrian flows. Anisotropic mesh adaptation ANGENER...
  • TrafficPredict

  • Referenced in 2 articles [sw36647]
  • relation to surrounding traffic-agents (vehicles, bicycles, pedestrians, etc.). A challenging and critical task ... many challenging scenarios where vehicles, bicycles, and pedestrians move among one another. We evaluate...
  • MOUGH

  • Referenced in 2 articles [sw36675]
  • shape-based voting algorithm for pedestrian detection and tracking. This paper presents the MOUGH (mixture ... active shape models in tracking pedestrians from a side view...
  • Bio-LSTM

  • Referenced in 1 article [sw25897]
  • Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction. In applications such ... anticipate the intention and future behavior of pedestrians. This ability allows vehicles to avoid collisions ... location and 3D articulated body pose of pedestrians in a global coordinate frame, given ... predict poses and global locations for multiple pedestrians simultaneously, for pedestrians up to 45 meters...
  • HydraPlus-Net

  • Referenced in 1 article [sw30751]
  • HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis. Pedestrian analysis plays a vital role ... images, the learning of comprehensive features of pedestrians for fine-grained tasks remains an open ... enrich the final feature representations for a pedestrian image. We demonstrate the effectiveness and generality ... proposed HP-net for pedestrian analysis on two tasks, i.e. pedestrian attribute recognition and person...
  • UrbanAccess

  • Referenced in 1 article [sw39357]
  • tool for computing GTFS transit and OSM pedestrian networks for accessibility analysis. UrbanAccess is tool ... represent disparate operational schedule transit networks and pedestrian OpenStreetMap (OSM) data to represent the pedestrian ... validation, and processing; 2) computing an integrated pedestrian and transit weighted network graph...
  • AutonoVi

  • Referenced in 1 article [sw35055]
  • constraints, including collision avoidance with other vehicles, pedestrians, and cyclists using control velocity obstacles ... highway driving scenarios with tens of vehicles, pedestrians, and cyclists. These scenarios include jaywalking pedestrians...
  • 2CoBel

  • Referenced in 2 articles [sw28236]
  • synthetic example, quantitative experimental results on a pedestrian localization problem are reported. The experiments show...
  • L5Kit

  • Referenced in 2 articles [sw36636]
  • motions of nearby vehicles, cyclists, and pedestrians over time. On top of this, the dataset...
  • TraPHic

  • Referenced in 2 articles [sw39571]
  • correspond to buses, cars, scooters, bicycles, or pedestrians. We model the interactions between different road...
  • MonoLoco

  • Referenced in 1 article [sw36641]
  • MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation. We tackle the fundamentally ill-posed problem ... stereo-based method for far-away pedestrians, and (iii) estimate meaningful confidence intervals. We further...
  • cityseer

  • Referenced in 1 article [sw39285]
  • cityseer Python package for pedestrian-scale network-based urban analysis. cityseer-api is a Python ... localised urban analysis at the pedestrian scale to provide contextually specific metrics for any given...
  • AutoRVO

  • Referenced in 1 article [sw39575]
  • agents such as cars, tricycles, bicycles, and pedestrians in dense traffic. Our approach currently assumes ... shapes, and velocities of all vehicles and pedestrians are known and computes smooth trajectories...